Machine Learning Engineering Manager

About the Role

As a Machine Learning Engineering Manager at Microblink, you will be at the forefront of innovation, leading a team of talented ML engineers. Your role will be pivotal in shaping the impact of machine learning across our products, which are used by millions globally. With a strong emphasis on team growth and development, you will guide the team in building and training custom-architecture models for real-time applications.

Key Responsibilities

Lead and Guide the ML Team: You will be responsible for leading a team of machine learning engineers, facilitating cross-team communication, and ensuring alignment with Microblink's core values and technical direction.
Mentorship and Development: Provide regular training and mentorship to team members, conduct performance evaluations, and create effective development plans.
Project Management: Work with the product management team to define projects and develop the roadmap.
Hiring and Team Growth: Participate in the hiring process and develop hiring plans based on business needs and team capacity.
Process Improvement: Invest in developing processes and tools that enhance team efficiency and productivity.
Stay Updated: Keep abreast of industry and technology trends to continuously improve the team’s tools and engineering practices.

Qualifications

Experience in researching, developing, experimenting with, and bringing ML-based projects to production.
Previous senior or lead ML engineer experience in an individual contributor role.
Proven track record of managing and leading ML and engineering teams, preferably cross-functional teams.
Experience with data annotation pipelines and data analysis.
Strong written and verbal communication skills in English.
Willingness to work across EST and CET time zones occasionally.

Preferred Qualifications

Development of custom, inference-optimized ML model architectures.
Experience with both CV and NLP.
Experience with data extraction pipelines based on ML.
Experience with deployment and monitoring of ML models.

Benefits

Equity Participation: All full-time employees are offered equity participation.
Unlimited PTO: Enjoy the flexibility to take time off as needed.
Flexible Work Arrangement: Work from anywhere and adjust your schedule.
Tech Equipment Budget: Additional budget for the tech equipment of your choice.
Parental Leave Support: Financial support during parental leave, 100% paid sick leave for child care, and more.
Learning and Development: Opportunities to learn and develop your skills in a challenging environment.

Join us in building extraordinary and future-oriented digital identity products for millions of end-users worldwide. If this role intrigues you, apply now and be part of our innovative team at Microblink.

Benefits
Extracted with AI

Equity participation
Unlimited PTO
Flexible work arrangement
Tech equipment budget
Parental leave support
100% paid sick leave
Opportunities for learning and development

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